{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["victim", "place", "payment method", "time", "damage amount", "tool", "attacker", "price"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "vulnerable system version", "supported platform", "vulnerable system", "vulnerability", "discoverer", "vulnerable system owner", "time"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["supported platform", "vulnerable system", "vulnerable system version", "time", "common vulnerabilities and exposures", "releaser", "patch", "issues addressed", "vulnerability"]}, {"event_type": "phishing", "trigger": true, "arguments": ["damage amount", "purpose", "attack pattern", "victim", "time", "place", "tool", "attacker", "trusted entity"]}, {"event_type": "data breach", "trigger": true, "arguments": ["tool", "victim", "place", "number of data", "damage amount", "purpose", "compromised data", "time", "attack pattern"]}], "input": "“ A small number of our customers have received scam email messages saying they are due a refund , ” a spokesperson for TV Licensing has said ."}
{"ransom": [], "discover vulnerability": [], "patch vulnerability": [], "phishing": [{"trigger": "have received", "arguments": {"damage amount": "NAN", "purpose": "NAN", "attack pattern": "saying they are due a refund", "victim": "our customers", "time": "NAN", "place": "NAN", "tool": "scam email messages", "attacker": "NAN", "trusted entity": "NAN"}}], "data breach": []}